Walsh, I., Fishman, D., Garcia-Gasulla, D., Titma, T., Pollastri, G., ELIXIR Machine Learning Focus Group, Harrow, J., Psomopoulos, F. E., Tosatto, S. C. E.

DOME : recommendations for supervised machine learning validation in biology

author

Walsh, Ian

Fishman, Dmytro

Garcia-Gasulla, Dario

Titma, Tiina

Pollastri, Gianluca

Harrow, Jennifer

Psomopoulos, Fotis E.

Tosatto, Silvio C. E.

corporate author

ELIXIR Machine Learning Focus Group

statement of authorship

Ian Walsh, Dmytro Fishman, Dario Garcia-Gasulla, Tiina Titma, Gianluca Pollastri, ELIXIR Machine Learning Focus Group, Jennifer Harrow, Fotis E. Psomopoulos & Silvio C. E. Tosatto

source

Nature methods

publisher

Springer Nature

journal volume number month

vol. 18

year of publication

2021

pages

p. 1122–1127

url

https://doi.org/10.1038/s41592-021-01205-4

subject term

bioloogilised aspektid

tehisõpe

algoritmid

ISSN

1548-7091

1548-7105

Open Access

scientific publication

teaduspublikatsioon

classifier

1.1

Scopus

Journal metrics at Scopus

Article at Scopus

WOS

Journal metrics at WOS

Article at WOS

category (general)

Biochemistry, genetics and molecular biology

category (sub)

Biochemistry, genetics and molecular biology. Biochemistry

Biochemistry, genetics and molecular biology. Biotechnology

Biochemistry, genetics and molecular biology. Cell biology

Biochemistry, genetics and molecular biology. Molecular biology

kvartiil

TTÜ department

tervisetehnoloogiate instituut

language

inglise

Uurimisrühm

Research group on diagnostics and treatment technologies of hypertension and atherosclerosis

Walsh, I., Fishman, D., Garcia-Gasulla, D., Titma, T., Pollastri, G., ELIXIR Machine Learning Focus Group, Harrow, J., Psomopoulos, F. E., Tosatto, S. C. E. DOME : recommendations for supervised machine learning validation in biology // Nature methods (2021) vol. 18, p. 1122–1127. https://doi.org/10.1038/s41592-021-01205-4